Extraction From Natural Language Sources
The biggest portion of information contained in business documents, even about 80%, is encoded in natural language and therefore unstructured. Because unstructured data are rather badly suited to extract knowledge from it, it is necessary to apply more complex methods, which nevertheless generally supply worse results, than it would be possible for structured data. The massive acquisition of extracted knowledge should compensate the increased complexity and decreased quality of extraction. In the following, natural language sources are understood as sources of information, where the data are given in an unstructured fashion as plain text. But the text can be additionally embedded in a markup document (e. g. HTML document), because the most of the systems remove the markup elements automatically.
Read more about this topic: Knowledge Discovery
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—Rudolf Carnap (1891–1970)
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—Henry David Thoreau (1817–1862)
“English general and singular terms, identity, quantification, and the whole bag of ontological tricks may be correlated with elements of the native language in any of various mutually incompatible ways, each compatible with all possible linguistic data, and none preferable to another save as favored by a rationalization of the native language that is simple and natural to us.”
—Willard Van Orman Quine (b. 1908)
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